GCN-YOLO: YOLO Based on Graph Convolutional Network for SAR Vehicle Target Detection-Reference-Cited by-同舟云学术

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GCN-YOLO: YOLO Based on Graph Convolutional Network for SAR Vehicle Target Detection

Published:2024 Issue: Volume:21 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Chen Peiyao¹,Wang Yinghua¹^ORCID,Liu Hongwei¹^ORCID

Affiliation:

1. National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an, China

Funder

Stabilization Support of the National Radar Signal Processing Laboratory

Higher Education Discipline Innovation Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/8859/10365397/10589370.pdf?arnumber=10589370

Reference29 articles.

1. An overview of automatic target recognition;Dudgeon;Lincoln Lab. J.,1993

2. Adaptive detection mode with threshold control as a function of spatially sampled clutter-level estimates;Finn;RCA Rev.,1968

3. Faster R-CNN: Towards real-time object detection with region proposal networks;Ren

4. SSD: Single Shot MultiBox Detector

5. You Only Look Once: Unified, Real-Time Object Detection

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